Progress of detector technology in recent years enables largely increased temporal and spatial resolution of scientific experiments. This innovation has  led to large amounts of data that need to be transferred, processed and analyzed. The UFO platform has been founded in 2010 to apply the latest technologies in order to face the challenges of data-intensive sciences.

UFO aims to enable a new types of smart experiment using the vast computational power of massively parallel computation units, fast interconnects and scalable data processing algorithms. We are convinced that the collaboration of interdisciplinary groups is required throughout the whole data processing workflow from detector, readout to analysis intelligent archival of the data. Thus UFO focus on generic core technologies to solve challenges arising from datasets the region of Gigabytes, Terabytes and beyond. From the very beginning we started to prove our concepts in selected applications. The webpage is organized in this sense by technologies and applications.

 

Technologies

Our research is driven by the needs of data-intensive projects. The list of research topics includes:

  • High-throughput DAQ Electronics
  • Ultra-fast digitizer with picosecond sampling
  • Modular scientific streaming cameras
  • Online processing of fast data streams
  • Tools for efficient parallel programming
  • Analysis services for data intensive sciences
  • Visualization of complex scientific data

Further details: Research Topics,  Software

 

Active projects

Field of research: Synchrotron X-ray imaging
Project: NOVA – Network for Online Visualization and Synergistic Analysis of Tomographic Data
Challenges: Establish tools and policies for community specific open data repositories and collaborative data analysis.

 

Field of research: Particle accelerator physics
Project: NeoDyn – Novel electro-optical detector systems to analyze the dynamics of electron bunches at  high-repetition rates
Challenges: Digital sampling systems in the pico- to femtosecond range; online data processing with tens of Gigabytes per second

 

Field of research: Fluid dynamics
Project: ROOF – Dynamical tracking of structures in multiphase fluids by ultrafast X-ray tomography and image-based scanning
Challenges: Fast image-based control

 

 

Field of research: High-energy physics
Case study:  GPUs as an alternative architecture for Track Triggers in HEP
Challenges: Data transfer to GPU and processing at the microsecond level

 

 

Completed projects

Field of research: Synchrotron X-Ray Imaging  Project: UFO – Ultra fast X-ray imaging of scientific processes with on-line assessment and data-driven process control
Challenges: Optimization of X-ray optics; integration of GPU computing in data workflow and control systems; high-throughput DAQ electronics

 

 

Field of research: Synchrotron X-ray imaging for life sciences
Project: Arthropod Structure revealed by ultrafast Tomography and Online Reconstruction
Challenges: Development of virtual analysis environment, integration in the synchrotron X-ray imaging workflow and advanced segmentation tools

 

Field of research: Material sciences
Case study: Micro partical imaging velocemetry (uPIV)
Challenges: Development of efficient algorithms for GPUs